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Name: T. P.
Type: User
Name: T. P.
Type: User
A curated list of awesome Deep Reinforcement Learning resources
A collection of awesome penetration testing resources, tools and other shiny things
Reinforcement learning resources curated
Implementation of the FlexPower Three Market BESS Optimization Model in Python using pyomo
A node.js demo application
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
Tutorials about Machine Learning and Deep Learning
Machine learning end-to-end research and trade execution
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
The Deepfake Offensive Toolkit
Energy Bricks is a simple framework for analyzing market risk exposure for wholesale electricity buyers. The tool forecasts prices for nodes in NEISO's network. These forecasts are taken in conjunction with hypothetical load and PPA production forecasts to determine periods of market exposure.
A collective list of data and tools available in the energy space.
This is a work in progress Pytorch implementation of the recently proposed ES-RNN by Slawek Smyl, winner of the M4 competition
fast-stable-diffusion, +25-50% speed increase + memory efficient + DreamBooth
FinRL: Financial Reinforcement Learning Framework. Please star. 🔥
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
Make a shopping list from your favorite recipes
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
Set of Jupyter (iPython) notebooks (and few pdf-presentations) about things that I am interested on, like Computer Science, Statistics and Machine-Learning, Artificial Intelligence (AI), Financial Engineering, Optimization, Stochastic Modelling, Time-Series forecasting, Science in general... and more.
Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group
Flask chat application using socketio
Build a chatbot powered by LlamaIndex that augments GPT 3.5 with the contents of the Streamlit docs (or your own data).
Machine Learning in Asset Management (by @firmai)
🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
OpenAI's Code Interpreter in your terminal, running locally
Python package to get and transform PurpleAir data
Quant Examples Based on Backtrader.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.